Service de Médecine Interne et Immunologie Clinique, Hôpital Bicêtre, Assistance publique des hôpitaux de Paris, GHU Paris-Saclay, Le Kremlin Bicêtre, France.
Université Paris-Saclay, Inserm, CEA, Centre de recherche en Immunologie des infections virales et des maladies auto-immunes ImVA, UMR Inserm U1184, 94270, Le Kremlin Bicêtre, France.
Mucosal Immunol. 2022 Feb;15(2):198-210. doi: 10.1038/s41385-021-00464-w. Epub 2021 Oct 28.
As the COVID-19 pandemic is still ongoing, and considering the lack of efficacy of antiviral strategies to this date, and the reactive hyperinflammation leading to tissue lesions and pneumonia, effective treatments targeting the dysregulated immune response are more than ever required. Immunomodulatory and immunosuppressive drugs have been repurposed in severe COVID-19 with contrasting results. The heterogeneity in the timing of treatments administrations could be accountable for these discrepancies. Indeed, many studies included patients at different timepoints of infection, potentially hiding the beneficial effects of a time-adapted intervention. We aim to review the available data on the kinetics of the immune response in beta-coronaviruses infections, from animal models and longitudinal human studies, and propose a four-step model of severe COVID-19 timeline. Then, we discuss the results of the clinical trials of immune interventions with regards to the timing of administration, and finally suggest a time frame in order to delineate the best timepoint for each treatment.
由于 COVID-19 大流行仍在持续,并且考虑到迄今为止抗病毒策略的疗效不足,以及导致组织损伤和肺炎的过度炎症反应,目前非常需要针对失调的免疫反应的有效治疗方法。免疫调节和免疫抑制药物已被重新用于治疗严重的 COVID-19,但结果却截然不同。治疗给药时间的异质性可能是导致这些差异的原因。实际上,许多研究纳入了处于感染不同时间点的患者,这可能掩盖了时间适应干预的有益效果。我们旨在回顾动物模型和纵向人类研究中有关β-冠状病毒感染中免疫反应动力学的现有数据,并提出严重 COVID-19 时间线的四步模型。然后,我们根据给药时间讨论免疫干预临床试验的结果,最后建议一个时间框架,以便确定每种治疗方法的最佳时间点。